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Circinus: Fast Redundancy-Reduced Subgraph Matching., , , , , , , и . Proc. ACM Manag. Data, 1 (1): 12:1-12:26 (2023)VSGM: View-Based GPU-Accelerated Subgraph Matching on Large Graphs., , , , , , и . SC, стр. 52:1-52:15. IEEE, (2022)Wings: Efficient Online Multiple Graph Pattern Matching., , , , , , , и . ICDE, стр. 3013-3027. IEEE, (2024)Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics., , , , , , , и . USENIX ATC, стр. 191-206. USENIX Association, (2019)Vertex-Centric Visual Programming for Graph Neural Networks., , , , , , , , и . SIGMOD Conference, стр. 2803-2807. ACM, (2021)HGL: Accelerating Heterogeneous GNN Training with Holistic Representation and Optimization., , , , , , , и . SC, стр. 72:1-72:15. IEEE, (2022)Improving resource utilization by timely fine-grained scheduling., , , , , и . EuroSys, стр. 20:1-20:16. ACM, (2020)FlexPS: Flexible Parallelism Control in Parameter Server Architecture., , , , , , , , и . Proc. VLDB Endow., 11 (5): 566-579 (2018)Scaling Large Production Clusters with Partitioned Synchronization., , , , , , , , и . USENIX ATC, стр. 81-97. USENIX Association, (2021)Seastar: vertex-centric programming for graph neural networks., , , , , , , и . EuroSys, стр. 359-375. ACM, (2021)